Research Article
Open Access
Subendocardial Systolic Hypoperfusion in Stenotic Coronary
Territories: Demonstration by 256-Slice Coronary CT
Angiography
Yuzo Yamasaki1, Michinobu Nagao2*, Yoshio Matsuo1, Takeshi Kamitani1, Masato Yonezawa1, Hiroshi Honda1, Satoshi Kawanami2, Tetsuya Matoba3,
Hidetake Yabuuchi4, Mani Vembar5 and Ko Higuchi5
1Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Japan
2Molecular Imaging & Diagnosis, Graduate School of Medical Sciences, Kyushu University, Japan
3Department of Cardiovascular Medicine, Graduate School of Medical Sciences, Kyushu University, Japan
4Department of Health science, Graduate School of Medical Sciences, Kyushu University, Japan
5Department of CT Clinical Science, Philips Healthcare, Cleveland, Ohio, USA
2Molecular Imaging & Diagnosis, Graduate School of Medical Sciences, Kyushu University, Japan
3Department of Cardiovascular Medicine, Graduate School of Medical Sciences, Kyushu University, Japan
4Department of Health science, Graduate School of Medical Sciences, Kyushu University, Japan
5Department of CT Clinical Science, Philips Healthcare, Cleveland, Ohio, USA
*Corresponding author: Michinobu Nagao, MD, Department of Molecular Imaging & Diagnosis, Graduate School of Medical Sciences, Kyushu University,
3-1-1 Maidashi, Higashi-Ku Fukuoka-city, Fukuoka, 812-8582, Japan; Tel: (81)-92-642-5695; Fax: (81)-92-642-5706; E-mail:
@
Received: November 18, 2013; Accepted: June 24, 2014, Published: July 2, 2014
Citation: Yamasaki Y, Nagao M, Matsuo Y, Kamitani T, Kawanami S, et al. (2014) Subendocardial Systolic Hypoperfusion in Stenotic
Coronary Territories: Demonstration by 256-Slice Coronary CT Angiography. J Clin Trial Cardiol 1(2): 1-5. DOI: http://dx.doi.org/10.15226/2374-6882/1/2/00107
Abstract Top
Purpose: We propose a new, Myocardial Perfusion Imaging
(MPI) with coronary CTA, and investigate the diagnostic ability of
subendocardial hypoperfusion for Coronary Artery Disease (CAD)
based on degree of coronary stenosis.
Methods: In twenty CAD patients, coronary CTA and invasive coronary angiography (CAG) were performed. CT-myocardial perfusion image (MPI) was reconstructed at 4 cardiac phases (0%, 40%, 60%, and 80% of the R-R interval), applying CT number measured in Hounsfield Unit (HU) as an estimate of perfusion. A myocardial segment with subendocardial low attenuation at endsystole was defined as subendocardial-systolic-hypoperfusion (SSH).
Results: Using >50% stenosis on CAG as standard, SSH diagnosed stenotic coronary territories with 63% sensitivity, 82% specificity, and 70% accuracy. Using >75% stenosis on CAG as standard, SSH diagnosed stenotic coronary territories with 73% sensitivity, 80% specificity, and 77% accuracy. The use of the SSH sign led to accurate diagnosis (result of CAG) in 9 of 60 territories (15%), which could not be assessed due to severe coronary calcification.
Conclusion: SSH is frequently seen in the stenotic coronary territories. SSH might provide powerful information when the assessment of coronary artery is made difficult by severe calcification.
Keywords: Coronary CT; Myocardial perfusion; Myocardial ischemia, Invasive coronary angiography
Methods: In twenty CAD patients, coronary CTA and invasive coronary angiography (CAG) were performed. CT-myocardial perfusion image (MPI) was reconstructed at 4 cardiac phases (0%, 40%, 60%, and 80% of the R-R interval), applying CT number measured in Hounsfield Unit (HU) as an estimate of perfusion. A myocardial segment with subendocardial low attenuation at endsystole was defined as subendocardial-systolic-hypoperfusion (SSH).
Results: Using >50% stenosis on CAG as standard, SSH diagnosed stenotic coronary territories with 63% sensitivity, 82% specificity, and 70% accuracy. Using >75% stenosis on CAG as standard, SSH diagnosed stenotic coronary territories with 73% sensitivity, 80% specificity, and 77% accuracy. The use of the SSH sign led to accurate diagnosis (result of CAG) in 9 of 60 territories (15%), which could not be assessed due to severe coronary calcification.
Conclusion: SSH is frequently seen in the stenotic coronary territories. SSH might provide powerful information when the assessment of coronary artery is made difficult by severe calcification.
Keywords: Coronary CT; Myocardial perfusion; Myocardial ischemia, Invasive coronary angiography
Introduction Top
While multi-slice computed tomography (MSCT) is
increasingly being used as a noninvasive alternative to coronary
angiography, several recent studies have shown the potential
of MSCT to provide myocardial perfusion information from the
same scan, which can be used in the diagnosis and evaluation of CAD [1]. Coronary CT angiography CCTA is widely used as noninvasive
imaging for assessment of coronary arteries. Newer MSCT
scanners (64-slice and greater) with a high temporal resolution
have improved the reliability of CCTA. However, CCTA still has
several limitations. Motion artifacts, arrhythmia, and severe
calcified plaque sometimes make assessment of coronary artery
difficult. A recent study reported that a pattern of subendocardial
hypoperfusion at systole in rest CCTA may characterize ischemic
myocardium detected by SPECT [2,3]. But we hypothesize that
SSH is observed in coronary stenotic territories because SSH
probably represents reduction of myocardial blood flow to the
myocardium. Furthermore, SSH has not yet been compared with
the result of CAG and presence of SSH on CT is assessed visually,
not by a quantitative method. The objective of this study was
to quantify SSH related to stenotic coronary territories using
retrospectively ECG-gated 256-slice CCTA and investigate its
diagnostic capability for detecting coronary artery disease (CAD)
using CAG as a reference standard.
Materials and Methods Top
Patient population
Twenty consecutive patients with suspected CAD who
underwent both CCTA and CAG within 3 months in our hospital
between March 2010 and March 2012 were enrolled in this
retrospective study. In all patients, Percutaneous Coronary
Intervention or Coronary Artery Bypass Grafting (CABG) were
not performed between the two examinations. Patients who had
a history of prior myocardial infarction (MI) or had undergone
CABG or stent placement were excluded. After approval from the
local ethics committee, informed consent was obtained from all
patients. Motion artifact and streak artifact was visually assessed, and cases with obvious artifact were excluded from our study.
The patient characteristics are shown in Table 1.
CCTA Acquisition Protocol
All CCTA examinations were performed using a 256-slice
MSCT scanner (Brilliance iCT: Philips Healthcare, Cleveland, OH,
USA). To prepare for the scan, all patients were administered
sublingual nitroglycerin (5 mg) unless their systolic blood
pressure was less than 100 mmHg. Other than pre-medication
that may already have been given to patients, no additional betablocker
was administered.
For all patients, an iodinated contrast agent (Iopamidol, 370 mgI/ml Iopamiron; Bayer Healthcare, Osaka, Japan) with a patient weight-based volume (0.7 ml × patient weight (kg)) was administered. The contrast agent was injected for 10 s followed by a 40 ml saline flush. Contrast agent and saline were injected at a rate of 4-5 ml/s into the antecubital vein via a 20-gauge catheter using a dual-head injector. Automatic bolus tracking was performed with a region of interest (ROI) placed in the aortic root. All CCTA scans were initiated 5 s after mean ROI contrast reached a pre-set threshold of 200 Hounsfield units (HU).
All patients underwent retrospectively ECG gated helical scans with ECG tube current modulation. The detector collimation was 2 × 128 × 0.625 mm, with a dynamic z-focal spot (ZFS), resulting in a sample collimation of 256 simultaneous slices of 0.625 mm thickness. The tube voltage was 100 or 120 kVp and the gantry rotation time was 0.27 s. An effective tube currentrotation time product (normalized to the pitch factor) ranging between 800 and 1050 mAs (depending on patient habitus) was used for the acquisition. Images were reconstructed with an individually adapted field of view (FOV) encompassing the heart, a matrix size of 512 × 512 pixels, an enhanced semi-smooth reconstruction kernel (CB), and a section thickness of 0.67 mm with an increment of 0.34 mm. The standard temporal resolution of 135 msec was further optimized via advanced adaptive multicycle reconstructions combining data from consecutive cardiac cycles[4]. A dedicated cardiac gating algorithm (Beat-to-Beat Variable Delay Algorithms, Philips Healthcare, Cleveland OH, USA)[5] was used, that enabled the detection and reconstruction of the same physiological cardiac phase of interest. In addition,
For all patients, an iodinated contrast agent (Iopamidol, 370 mgI/ml Iopamiron; Bayer Healthcare, Osaka, Japan) with a patient weight-based volume (0.7 ml × patient weight (kg)) was administered. The contrast agent was injected for 10 s followed by a 40 ml saline flush. Contrast agent and saline were injected at a rate of 4-5 ml/s into the antecubital vein via a 20-gauge catheter using a dual-head injector. Automatic bolus tracking was performed with a region of interest (ROI) placed in the aortic root. All CCTA scans were initiated 5 s after mean ROI contrast reached a pre-set threshold of 200 Hounsfield units (HU).
All patients underwent retrospectively ECG gated helical scans with ECG tube current modulation. The detector collimation was 2 × 128 × 0.625 mm, with a dynamic z-focal spot (ZFS), resulting in a sample collimation of 256 simultaneous slices of 0.625 mm thickness. The tube voltage was 100 or 120 kVp and the gantry rotation time was 0.27 s. An effective tube currentrotation time product (normalized to the pitch factor) ranging between 800 and 1050 mAs (depending on patient habitus) was used for the acquisition. Images were reconstructed with an individually adapted field of view (FOV) encompassing the heart, a matrix size of 512 × 512 pixels, an enhanced semi-smooth reconstruction kernel (CB), and a section thickness of 0.67 mm with an increment of 0.34 mm. The standard temporal resolution of 135 msec was further optimized via advanced adaptive multicycle reconstructions combining data from consecutive cardiac cycles[4]. A dedicated cardiac gating algorithm (Beat-to-Beat Variable Delay Algorithms, Philips Healthcare, Cleveland OH, USA)[5] was used, that enabled the detection and reconstruction of the same physiological cardiac phase of interest. In addition,
Table 1:patient characteristics.
Number of patients |
|
20 |
Age (years) |
|
66.0 ± 12.2 (range 28 - 81) |
Body mass index (kg/m2) |
|
25.3 ± 4.1 (range 20.8 - 33.2) |
Male gender |
|
14 (70%) |
Hypertension |
|
13 (65%) |
Dyslipidemia |
|
7 (35%) |
Diabetes |
|
13 (65%) |
Family history of CAD |
|
4 (20%) |
Cigarette smoking |
|
11 (55%) |
End-stage renal disease |
|
3 (15%) |
Peripheral vascular disease |
|
2 (10%) |
Figure 1: Measurement of attenuation of endocardium and epicardium.
The regions of interest (ROIs) in endocardium and epicardium were
placed semi-automatically on 2D short-axis (A) and long-axis (B) cardiac
images, according to American Heart Association classification. The
myocardial CT values for 17 segments were measured at 0%, 40%, 60%
and 80% phases.
dynamic helical z-collimation (Eclipse DoseRight Collimator,
Philips Healthcare, Cleveland, OH, USA) were used that reduced
z-overscanning at the beginning and the end of the helical scans
by approximately 25% for typical cardiac scan lengths[6].
Myocardial Perfusion Imaging (CT-MPI)
The measurement of myocardial perfusion was performed
using the time volume analysis tool on a workstation (TeraRecon
Aquarius version 4.4.7, TeraRecon). Image reconstruction of
CT-MPI was retrospectively gated to the ECG; 10 phases were
reconstructed throughout the cardiac cycle, with the R-R interval
divided into 10% incremental intervals. Myocardial attenuation
was assessed using the American Heart Association/American
College of Cardiology classification of 17 segment model[7],
using LV short-axis and long-axis images with a slice thickness
of 2 mm. Myocardial wall thickness for each segment was semiautomatically
measured at 4 phases (0%, 40%, 60%, and 80%
of the R-R interval). The line in half of the myocardial thickness
was manually drawn and separated to subendocardium and
subepicardium. Myocardial attenuation (Hounsfield unit; HU)
for each segment was measured in the region of interest defined
in the endocardium and epicardium at 4 phases (0%, 40%, 60%,
and 80% of the R-R interval) Figure 1. The mean myocardial
attenuation (mean MYO) and Standard Deviation (SD) were
calculated, for 136 areas in each patient. We defined SSH if the
following 2 criteria were met. 1) subendocardial myocardial
attenuation at 40% phase of R-R interval =< mean MYO – 1 SD
and 2) subendocardial myocardial attenuation at 40% phase of
R-R interval =< subepicardial myocardial attenuation at 40%
phase of R-R interval. All segments were classified into RCA, LAD
and LCX territories.
Invasive Coronary Angiography Acquisition and
Quantitative Coronary Analysis
Invasive Coronary Angiography (ICA) was performed using
standard orthogonal views and was clinically driven. Coronary
angiographic images were transferred to an independent angiographic core laboratory for analysis. The coronary tree
was analyzed using a 14-segment coronary model as previously
described. A vessel supplying a territory was considered
obstructive if at least 1 segment of a vessel contained a >50% and
>75% luminal stenosis.
Statistical analysis
The diagnostic capability for the detection of CAD was
analyzed using the agreement with the territories with SSH and
the stenotic coronary territories on CAG.
Diagnostic capability of SSH to detect CAD, based on both > 50% and > 75% luminal stenotic territory on CAG, was calculated. SSH was considered to be correct if SSH were seen in the same myocardial segments with coronary stenosis on CAG. We calculated sensitivity, specificity, positive predictive value, and negative predictive value for SSH.
Diagnostic capability of SSH to detect CAD, based on both > 50% and > 75% luminal stenotic territory on CAG, was calculated. SSH was considered to be correct if SSH were seen in the same myocardial segments with coronary stenosis on CAG. We calculated sensitivity, specificity, positive predictive value, and negative predictive value for SSH.
ResultsTop
Results
Of the 60 territories, 28 had SSH on CCTA as defined by our
criteria; 8 SSHs to the Right Coronary Artery (RCA), 16 SSHs to
the Left Anterior Descending Artery (LAD), and 4 SSHs to the left
circumflex branch (LCX). Of the 20 patients, 19 had SSH. There
were 9 patients with two-vessel disease and 1 patient with triplevessel
disease.
CAG
Of the 60 territories, 38 had > 50% stenosis and 30 had > 75%
stenosis on CAG by our criteria; 10 areas with > 50% stenosis to
the Right Coronary Artery (RCA), 18 areas with > 50% stenosis
to the left anterior descending artery (LAD), 10 areas with > 50%
stenosis to the Left Circumflex branch (LCX), 9 areas with > 75%
stenosis to the right coronary artery (RCA), 17 areas with > 75%
stenosis to the left anterior descending artery (LAD), 4 areas with
> 75% stenosis to the left circumflex branch (LCX). Overall, all 20
patients had > 50% stenosis and 18 of them had > 75% stenosis.
Diagnostic capability of SSH
Table 2 shows the > 50% stenosis-level diagnostic
performance data of SSH to detect stenotic coronary territory.
Using our criteria, SSH identified 24 of 38 territories with
=>50% stenosis and 22 of 30 territories with =>
75% stenosis.
SSH identified stenotic territory with a modest sensitivity and
good specificity. When SSH was compared with either =>50%
stenosis or =>75% stenosis, sensitivity improved but specificity
decreased. Accuracy of =>75% stenosis detection was higher
than accuracy of =>50% stenosis detection Table 3.
In our study, the discrepancy of coronary stenosis between CCTA versus CAG was observed in 12 coronary territories; 2 territories of over diagnosis, 1 territory of under diagnosis, 9 territories of not assessed due to severe calcified plaques. The use of the SSH sign led to accurate diagnosis (result of CAG) in 10 of these 12 territories. Representative cases were indicated in Figures 2 and 3. Nine territories of 60 territories (15%) could not be assess with CCTA, whereas all territories could be assessed with both CCTA and SSH.
In our study, the discrepancy of coronary stenosis between CCTA versus CAG was observed in 12 coronary territories; 2 territories of over diagnosis, 1 territory of under diagnosis, 9 territories of not assessed due to severe calcified plaques. The use of the SSH sign led to accurate diagnosis (result of CAG) in 10 of these 12 territories. Representative cases were indicated in Figures 2 and 3. Nine territories of 60 territories (15%) could not be assess with CCTA, whereas all territories could be assessed with both CCTA and SSH.
Table 2:The incidence of SSH and the stenotic coronary territories on CAG.
Total |
CCTA |
CAG |
|
SSH(+) |
>50% |
>75% |
|
Patient |
19/20 (95%) |
20/20 (100%) |
18/20 (90%) |
Vessel territory |
28/60 (47%) |
38/60 (63%) |
30/60 (50%) |
Distribution |
SSH(+) |
>50% |
>75% |
RCA |
8/20 (40%) |
10/20 (50%) |
9/20 (45%) |
LAD |
16/20 (80%) |
18/20 (90%) |
17/20 (85%) |
LCX |
4/20 (20%) |
10/20 (50%) |
4/20 (20%) |
Table 3:CAD diagnostic capability of SSH by coronary territory base.
The threshold value of a coronary stenosis (CAG) |
||
50% |
75% |
|
Sensitivity |
63.2% (24/38) |
73.3% (22/30) |
Specificity |
81.8% (18/22) |
80% (24/30) |
PPV |
85.7% (24/28) |
78.6% (22/28) |
NPV |
56.3% (18/32) |
75% (24/32) |
Accuracy |
70% (42/60) |
76.7% (46/60) |
Figure 2: Severe calcified plaque and significant stenosis at LAD territory
in a female patient aged 81 years.
A: Coronary computed tomography angiography (CCTA) showed severe
calcified plaque at LAD territory; but degree of luminal stenosis is unclear.
B: CAG showed stenotic lesion at segment 7 (LAD territory)
C: CT perfusion images of systolic phase showed subendocardial systolic
hypoperfusion at anterior wall (LAD territory). CT value of endocardium
was 60 HU. CT value of epicardium was 62 HU. Mean MYO was
89 HU (SD is 8 HU), thus cut-off was 81 HU. SSH sign was positive. SSH
positive territory was identical with coronary stenotic territory.
Discussion
Our study demonstrated the potential of 256-slice MSCT
incorporating coronary angiogram and perfusion imaging
enables consistent detect of coronary stenotic territory, as
verified via CAG. Identification of coronary stenosis is important
Figure 3: Severe calcified plaque in the LAD, but no stenosis in a female
patient aged 79 years
A: Coronary computed tomography angiography (CCTA) showed severe
calcified plaque at LAD territory; but degree of luminal stenosis is unclear
B: CAG showed no stenotic lesion at LAD territory.
C: CT perfusion images of systolic phase showed no subendocardial systolic
hypoperfusion. CT value of endocardium was 85 HU. CT value of epicardium
was 81 HU. Mean MYO was 87 HU (SD is 7 HU.), thus cut-off was
80 HU. SSH sign was negative. SSH negative territory was indicative of
absence of significant CAD.
to determine prognosis and to plan patient treatments. Using
resting CTA images, myocardial perfusion evaluation is possible
without the need for further studies, or additional radiation or
contrast. This study showed the novel quantitative method to
detect coronary stenotic territory with resting CTA images.
The use of the SSH sign led to accurate diagnosis (result of CAG) in 10 of the 12 territories deviated coronary stenosis between CCTA versus CAG. The presence of SSH might provide useful additional information when the assessment of coronary artery is made difficult by severe calcification.
The decline of myocardial contrast enhancement is due to reduction of myocardial blood flow in the coronary artery supplying blood to the ischemic region of the myocardium. The endocardium is the area of the left ventricle most vulnerable to the effects of hypoperfusion and ischemia. As the result, the ischemic area exhibits subendocardial low attenuation (myocardial enhancement) compared to the normal regions [1].
Although several previous studies have demonstrated possibility of rest CTP imaging to identify myocardial ischemia Spiro AJ et al [3, 8]. stated that resting cardiac 64-MDCT dose not reliably detect myocardial ischemia identified by radionuclide imaging [9]. The mean body mass index for their patients was 30, supposing that the majority of patients were obese. This affects increase in signal noise and decrease in myocardial enhancement, resulting miss - diagnosis by rest CTP imaging. On
the other hand, the mean body weight for our Japanese patients was about 60kg, and the mean body mass index was about 20. Patient size is suitable for getting high contrast and artifact less image. In addition, the scan time of 256-slice MSCT is less than 5 seconds and that of 64-slice, and the timing is the early phase of myocardial enhancement during the first pass. The short scan time of 256-slice MSCT can amplify the difference in myocardial enhancement between systole and diastole. Further, 256-slice CT with high temporal resolution can achieve motion artifact less in myocardial imaging at systole as well as diastole.
With a standard temporal resolution of 135 ms further optimized via cardiac adaptive multi-cycle reconstructions, the end-systolic rest phase can be successfully targeted using the 256-slice MSCT enabling the user to accurately trace myocardial boundary. With a wide coverage of 8 cm, the contrast bands are minimized, thus also reducing their impact on attenuation changes [10, 11]. The resulting short scan times of 256-slice MSCT (<5 s for a typical cardiac anatomy) could facilitate optimization of the contrast volume needed to help enable cardiac imaging at the peak coronary enhancement [12].
Limitations: This was single-center pilot study with a small number of patients. The CCTA scans were triggered based on a pre-determined threshold of the mean HU of the contrast arrival in the aortic root – while this is targeting the early phase of the myocardial enhancement during the first pass, the timing may not be optimized for the peak enhancement of the myocardium. In addition, our investigations did not quantify the measures commonly associated with perfusion (blood flow, volume, etc). These are typically extracted from dynamic perfusion scans. However, since these scans could result in an increased radiation exposure, we limited our investigations to a single CCTA scan in the interest of keeping the radiation exposure low.
In conclusion, SSH was quantified by subendocardial and subepicardial attenuation using retrospective resting ECGgate CCTA. SSH was present in a high rate in stenotic coronary territories confirmed by CAG, and could provide additional hemodynamic information with the detection of CAD (especially =>75% stenosis) with high diagnostic accuracy.
The use of the SSH sign led to accurate diagnosis (result of CAG) in 10 of the 12 territories deviated coronary stenosis between CCTA versus CAG. The presence of SSH might provide useful additional information when the assessment of coronary artery is made difficult by severe calcification.
The decline of myocardial contrast enhancement is due to reduction of myocardial blood flow in the coronary artery supplying blood to the ischemic region of the myocardium. The endocardium is the area of the left ventricle most vulnerable to the effects of hypoperfusion and ischemia. As the result, the ischemic area exhibits subendocardial low attenuation (myocardial enhancement) compared to the normal regions [1].
Although several previous studies have demonstrated possibility of rest CTP imaging to identify myocardial ischemia Spiro AJ et al [3, 8]. stated that resting cardiac 64-MDCT dose not reliably detect myocardial ischemia identified by radionuclide imaging [9]. The mean body mass index for their patients was 30, supposing that the majority of patients were obese. This affects increase in signal noise and decrease in myocardial enhancement, resulting miss - diagnosis by rest CTP imaging. On
the other hand, the mean body weight for our Japanese patients was about 60kg, and the mean body mass index was about 20. Patient size is suitable for getting high contrast and artifact less image. In addition, the scan time of 256-slice MSCT is less than 5 seconds and that of 64-slice, and the timing is the early phase of myocardial enhancement during the first pass. The short scan time of 256-slice MSCT can amplify the difference in myocardial enhancement between systole and diastole. Further, 256-slice CT with high temporal resolution can achieve motion artifact less in myocardial imaging at systole as well as diastole.
With a standard temporal resolution of 135 ms further optimized via cardiac adaptive multi-cycle reconstructions, the end-systolic rest phase can be successfully targeted using the 256-slice MSCT enabling the user to accurately trace myocardial boundary. With a wide coverage of 8 cm, the contrast bands are minimized, thus also reducing their impact on attenuation changes [10, 11]. The resulting short scan times of 256-slice MSCT (<5 s for a typical cardiac anatomy) could facilitate optimization of the contrast volume needed to help enable cardiac imaging at the peak coronary enhancement [12].
Limitations: This was single-center pilot study with a small number of patients. The CCTA scans were triggered based on a pre-determined threshold of the mean HU of the contrast arrival in the aortic root – while this is targeting the early phase of the myocardial enhancement during the first pass, the timing may not be optimized for the peak enhancement of the myocardium. In addition, our investigations did not quantify the measures commonly associated with perfusion (blood flow, volume, etc). These are typically extracted from dynamic perfusion scans. However, since these scans could result in an increased radiation exposure, we limited our investigations to a single CCTA scan in the interest of keeping the radiation exposure low.
In conclusion, SSH was quantified by subendocardial and subepicardial attenuation using retrospective resting ECGgate CCTA. SSH was present in a high rate in stenotic coronary territories confirmed by CAG, and could provide additional hemodynamic information with the detection of CAD (especially =>75% stenosis) with high diagnostic accuracy.
Acknowledgement
"This work was supported by the Japan Society for the
Promotion of Science (JSPS) KAKENHI (25461831)".
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